{"id":"W2945476588","doi":"10.2196/14124","title":"Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Heart, Lung, and Blood Institute","keywords":"mHealth; Context (archaeology); Bluetooth; Psychological intervention; Health care; Internet privacy; Intervention (counseling); Process (computing); Computer science; Telemedicine; Population; Medicine; Knowledge management; Nursing; Wireless; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02673684,0.001684623,0.001181949,0.003859919,0.002331974,0.004653279,0.002475306,0.006316914,0.219762],"category_scores_gemma":[0.1260044,0.001575248,0.001394377,0.001660741,0.001506018,0.00610754,0.006032664,0.004833682,0.1638043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477593,"about_ca_system_score_gemma":0.01013528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002064988,"about_ca_topic_score_gemma":0.006996159,"domain_scores_codex":[0.9792694,0.01281223,0.002655835,0.001081255,0.003238829,0.0009425578],"domain_scores_gemma":[0.8843469,0.06478509,0.004640192,0.009283311,0.02988542,0.007059094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003400562,0.0006126061,0.002091292,0.001401565,0.00001413394,0.001435364,0.004761438,0.000293416,0.003198087,0.003419952,0.6337699,0.3486621],"study_design_scores_gemma":[0.0002734618,0.0003557951,0.002763219,0.003701899,0.00002910493,0.003101268,0.005588739,0.001274233,0.002557211,0.01196188,0.9682845,0.0001087371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01175978,0.01047817,0.421819,0.1954415,0.01036826,0.02602967,0.008036033,0.04149649,0.2745711],"genre_scores_gemma":[0.03845543,0.009030387,0.6674116,0.05651184,0.002285693,0.04068183,0.003034296,0.004956032,0.1776328],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.219762,"threshold_uncertainty_score":0.735177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154802351043885,"score_gpt":0.5091996758449064,"score_spread":0.3937194407405179,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}